Researchers in the Cui lab have designed a polymer-polymer solid-state electrolyte for lithium batteries that is fireproof, lightweight, and mechanically robust.
Researchers at Stanford University, Technical University of Denmark, and Norwegian University of Science and Technology have developed a software suite that can predict long-term performance of reinforced concrete based on multiple, fundamental, physics phenomenon like humidit
Stanford researchers have integrated concrete durability modeling software into building information models (BIM) for better management, repair, and assessment of structural elements like roads, bridges, dams, buildings, etc.
Stanford researchers have developed a method to make thin films of metallic glass with high strength, elastic limit, and corrosion resistance. These films are composed of metallic glass nanoparticles with high ductility.
Stanford researchers have developed a crowdsourced framework for real-time robotic teleoperation with six degrees of freedom. Through smartphone controllers, RoboTurk enables large human workforces to remotely operate the robots without the need for prior training.
Stanford researchers at the Bao Research Group have patented a body area sensor network (bodyNET) that can be used to monitor human physiological signals for next-generation personalized healthcare.
Stanford researchers at the Bao Research Group have developed a second-generation stretchable multi-sensor tag technology for detecting physiological signals.
Stanford researchers have developed one of the smallest, active translational enhancers that can be adapted to control gene regulation. The translation enhancer is a short RNA stem-loop structure isolated from a Hox gene.
Stanford researchers have developed a compact, low-cost complete sensor solution (sensor plus reader) which can interpret fully-passive sensors through a simple handheld external reader. The readout mechanism can take measurements independent of the readout distance (i.e.
Researchers at Stanford have developed, for the first time, a high-throughput method to systematically detect and identify silencer elements in the human genome.